Ori Golani

Modeling the Bit-Error-Rate Performance of Nonlinear Fiber-Optic Systems

We present a detailed statistical model of nonlinear interference noise (NLIN) in optical communication systems. We demonstrate an efficient method of calculating second-order statistics of the NLIN coefficients, particularly their temporal autocorrelation and cross correlation. The model is highly accurate in predicting system performance metrics such as bit-error-rate and signal-to-noise ratio, and is shown to provide better accuracy with respect to models that use the NLIN variance alone, particularly when accounting for the adaptive filtering of realistic receivers.

Correlations and phase noise in NLIN-modelling and system implications

We present a method for the accurate prediction of BER in nonlinear systems, taking into account the temporal correlations of the nonlinear interference noise and incorporating the effect of an adaptive receiver.

Nonlinear interference noise in space-division multiplexed transmission through optical fibers

We study the nonlinear interference noise (NLIN) generated in SDM systems, and generalize the NLIN model introduced in the context of single-mode fibers to the multi-mode case. The generalized model accounts for the modulation-format dependence of the NLIN, and gives the scaling of the NLIN power with the number of transmitted modes. It also provides the tools for extending the results of the NLIN Wizard to SDM. Unlike in the case of single-mode systems, the effect of MD cannot in general be ignored in the SDM case. We show that inclusion of MD erases the contribution of FWM effects, and significantly suppresses the effect of XPM.

Inter-modal nonlinear interference in SDM systems and its impact on information capacity

We present a fully analytic study of the nonlinear interference noise (NLIN) in SDM systems. Our approach is based on the generalization to the case of mode-multiplexed systems of tools that have been recently developed for the study of the NLIN in standard single-mode systems. The presented model is shown to yield simple expressions relating the NLIN power and the information capacity to the number of propagating modes.